Whole-Brain Functional Connectivity Identification of Functional Dyspepsia

Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain net...

Full description

Bibliographic Details
Main Authors: Nan, Jiaofen, Liu, Jixin, Li, Guoying, Xiong, Shiwei, Yan, Xuemei, Yin, Qing, Zeng, Fang, von Deneen, Karen M., Liang, Fanrong, Gong, Qiyong, Qin, Wei, Tian, Jie
Format: Online
Language:English
Published: Public Library of Science 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684590/
id pubmed-3684590
recordtype oai_dc
spelling pubmed-36845902013-06-24 Whole-Brain Functional Connectivity Identification of Functional Dyspepsia Nan, Jiaofen Liu, Jixin Li, Guoying Xiong, Shiwei Yan, Xuemei Yin, Qing Zeng, Fang von Deneen, Karen M. Liang, Fanrong Gong, Qiyong Qin, Wei Tian, Jie Research Article Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. The dysfunctional interactions between brain regions at rest were investigated in FD patients as compared with 40 age- and gender- matched healthy controls. Multivariate pattern analysis was used to evaluate the discriminative power of our results for classifying patients from controls. In our findings, the abnormal brain functional connections were mainly situated within or across the limbic/paralimbic system, the prefrontal cortex, the tempo-parietal areas and the visual cortex. About 96% of the subjects among the original dataset were correctly classified by a leave one-out cross-validation approach, and 88% accuracy was also validated in a replication dataset. The classification features were significantly associated with the patients’ dyspepsia symptoms, the self-rating depression scale and self-rating anxiety scale, but it was not correlated with duration of FD patients (p>0.05). Our results may indicate the effectiveness of the altered brain functional connections reflecting the disease pathophysiology underling FD. These dysfunctional connections may be the epiphenomena or causative agents of FD, which may be affected by clinical severity and its related emotional dimension of the disease rather than the clinical course. Public Library of Science 2013-06-17 /pmc/articles/PMC3684590/ /pubmed/23799056 http://dx.doi.org/10.1371/journal.pone.0065870 Text en © 2013 Nan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Nan, Jiaofen
Liu, Jixin
Li, Guoying
Xiong, Shiwei
Yan, Xuemei
Yin, Qing
Zeng, Fang
von Deneen, Karen M.
Liang, Fanrong
Gong, Qiyong
Qin, Wei
Tian, Jie
spellingShingle Nan, Jiaofen
Liu, Jixin
Li, Guoying
Xiong, Shiwei
Yan, Xuemei
Yin, Qing
Zeng, Fang
von Deneen, Karen M.
Liang, Fanrong
Gong, Qiyong
Qin, Wei
Tian, Jie
Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
author_facet Nan, Jiaofen
Liu, Jixin
Li, Guoying
Xiong, Shiwei
Yan, Xuemei
Yin, Qing
Zeng, Fang
von Deneen, Karen M.
Liang, Fanrong
Gong, Qiyong
Qin, Wei
Tian, Jie
author_sort Nan, Jiaofen
title Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
title_short Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
title_full Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
title_fullStr Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
title_full_unstemmed Whole-Brain Functional Connectivity Identification of Functional Dyspepsia
title_sort whole-brain functional connectivity identification of functional dyspepsia
description Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. The dysfunctional interactions between brain regions at rest were investigated in FD patients as compared with 40 age- and gender- matched healthy controls. Multivariate pattern analysis was used to evaluate the discriminative power of our results for classifying patients from controls. In our findings, the abnormal brain functional connections were mainly situated within or across the limbic/paralimbic system, the prefrontal cortex, the tempo-parietal areas and the visual cortex. About 96% of the subjects among the original dataset were correctly classified by a leave one-out cross-validation approach, and 88% accuracy was also validated in a replication dataset. The classification features were significantly associated with the patients’ dyspepsia symptoms, the self-rating depression scale and self-rating anxiety scale, but it was not correlated with duration of FD patients (p>0.05). Our results may indicate the effectiveness of the altered brain functional connections reflecting the disease pathophysiology underling FD. These dysfunctional connections may be the epiphenomena or causative agents of FD, which may be affected by clinical severity and its related emotional dimension of the disease rather than the clinical course.
publisher Public Library of Science
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684590/
_version_ 1611986980794531840